Strategy Review vs execution: reviewing decisions, not just placing trades
Strategy Review is a process for examining strategy-related choices after (or alongside) trading activity. It asks questions like: What was the plan for this trade or sequence? What conditions were present when the decision was made? Did the outcome match the expectations created by those conditions? Then it identifies adjustments that improve future decision quality.
Execution, by contrast, is about how orders are placed and filled: timing, order type, slippage, and whether the intended price or size is achieved in the market. Execution can strongly affect outcomes even when the underlying strategy decision was reasonable. That means execution is an input into trading performance, not the same thing as reviewing strategy logic.
A bounded way to separate them:
- Execution answers: “What actually happened in order placement and fills?”
- Strategy Review answers: “What strategic decisions were made, why, and what should change next?”
Because these focus areas differ, a Strategy Review can be limited by poor execution data. If you cannot observe fills, timestamps, or costs, you may mistake execution problems for strategy problems.
Strategy Review vs trading psychology: mental states influence outcomes, but do not define the review method
Trading psychology refers to internal processes such as discipline, attention, stress, and bias. It explains how people make decisions and how those decisions may drift from a plan.
Strategy Review focuses on the strategy layer of decision-making: the rules, assumptions, and criteria used to decide. It can include psychological observations, but only as evidence connected to strategy performance. For example, you might note that decisions became inconsistent with the plan due to impatience. However, the review still needs to map that observation to a specific change in process (for instance, how decisions are checked before entry).
So the canonical ownership differs:
- Trading psychology is about why a trader’s behavior may shift.
- Strategy Review is about what that behavior produced relative to strategy intent, and what to modify.
Material limitation and failure mode: if a review turns into only “mindset coaching,” it may never test whether the strategy rules are being applied correctly or whether the assumptions are still valid. Conversely, if it ignores psychological drift entirely, it may produce repetitive “strategy rule” edits that do not address the actual cause of deviations.
Strategy Review vs backtesting: assumptions and estimation versus observed outcomes
Backtesting is a simulation method that applies strategy rules to historical data to estimate how the strategy might have performed under certain assumptions. It is sensitive to data quality, model assumptions, and how costs are represented.
Strategy Review is about evaluating what happened in reality (or in a recorded execution record) and learning from those outcomes. It does not replace the need for backtesting when a strategy is being developed, but it serves a different function: it verifies whether the strategy rules and decision process work in the conditions you actually traded.
A bounded comparison helps:
- Backtesting answers: “Under these assumptions, how might the rules perform historically?”
- Strategy Review answers: “Given what we actually did and what we actually observed, what is the decision-process truth?”
Assumption clarity matters. For example, backtesting often assumes specific fill behavior, spreads, or execution timing. If those assumptions are not realistic, the estimated relationship between signals, costs, and returns may not carry over. Historical relationships also do not establish future results, especially because market conditions and costs can change.
Material limitation and failure mode: treating backtest results as proof. Even if backtesting shows favorable outcomes in a sample period, that does not guarantee performance outside that period. Strategy Review helps by checking real outcomes against the strategy’s stated intent.
Strategy Review vs performance review/reporting: explanation versus summary
Performance reporting typically summarizes results: profitability, drawdowns, win/loss proportions, or risk metrics. It answers: “What happened to results?”
Strategy Review goes deeper into the “why” and the “what next.” It links outcome categories to strategic decisions and process choices: Was the plan followed? Were decision criteria met? Were assumptions violated? Did costs or execution change the outcome more than expected?
This difference can be bounded:
- Performance reporting answers: “What is the net outcome and variability?”
- Strategy Review answers: “Which parts of the decision process drove those outcomes, and what should change?”
Material failure mode: using performance summaries alone to change strategy. If you adjust based only on aggregated results, you may overfit to noise, change the wrong part of the process, or miss that outcomes were dominated by a temporary cost regime.
Evidence or example: a simple, verifiable review loop
Consider a single week of trading with recorded entries, planned decision criteria, and post-trade notes.
Assumptions (made explicit):
- You have timestamps and executed prices (or at least enough to estimate whether entry criteria aligned with observation time).
- You record which strategy rule set or decision checklist was used.
- You record trading costs as a consistent estimate, or you separate “gross result” from “net after costs.”
A Strategy Review loop can then follow four steps:
- Decision trace: For each trade, list the criteria you intended to satisfy.
- Condition check: Compare intended criteria to the conditions at decision time (or the closest recorded proxy).
- Outcome mapping: Identify which category best describes the result driver (following the plan, partial following, plan not followed, costs/execution dominated).
- Change proposal: Write one concrete process change, such as adding a verification step before entry or defining a rule for when costs make the trade not worth taking.
This makes verification possible because each step depends on records you can examine. It also limits misunderstanding: you can see whether outcomes align with strategy assumptions or were driven by missing adherence.
Limitations and risks: what Strategy Review cannot guarantee
Strategy Review has important limitations:
- It cannot remove uncertainty. Markets vary, costs vary, and execution quality varies.
- It does not prove future performance. Even well-run reviews can lead to incorrect conclusions if the review inputs are incomplete.
- It can fail through self-confirmation. If you only focus on trades that support your preferred narrative, your “evidence” becomes selective.
A concrete failure mode: incomplete data. If you do not record decision-time conditions consistently, you may blame the strategy rules for problems caused by mis-timing or unobserved costs.